Decision Theory and the Future of AI

Dr. Yang Liu Upon completion of a Master’s degree at Chinese Academy of Sciences and Yangzhou University, Liu pursued a PhD degree at the University of British Columbia. During my PhD, he joined Sorbonne University for one year to construct a theoretical model. Since 2017, he has begun postdoc research at the University of British Columbia. By employing multidisciplinary approaches, his long-term research goal seeks to reveal a role for demographic, ecological, and genetic mechanisms in plant adaptive evolution, and how adaptive and nonadaptive evolutionary processes have contributed to biodiversification.Stephan Hartmann completed a Diploma in Physics (1991), a Master in Philosophy (1991), and a PhD degree in Philosophy (1995), each at Justus-Liebig University Giessen. In autumn 2012 he became Chair of Philosophy of Science, Alexander von Humboldt Professor, and Head of the Munich Center for Mathematical Philosophy at the LMU Munich. Before that he taught at Tilburg University, the London School of Economics, and the University of Konstanz. He had visiting appointments at the University of California at Irvine and Lund University and was a Visiting Fellow at the Center for Philosophy of Science at the University of Pittsburgh. He was President of the European Philosophy of Science Association (EPSA, 2013-2017) and of the European Society for Analytical Philosophy (ESAP, 2014-2017).Huw Price retired in 2020 after nine years as Bertrand Russell Professor of Philosophy and a Fellow of Trinity College at the University of Cambridge. He was Academic Director of the Leverhulme Centre for the Future of Intelligence from its launch in 2016 until October 2021, and he remains Chair of the CFI Strategy Group. He was also co-founder, with Martin Rees and Jaan Tallinn, of the Centre for the Study of Existential Risk. In January 2019 he joined the inaugural Board of the new Ada Lovelace Institute. Beforemoving to Cambridge in 2011 he was ARC Federation Fellow and Challis Professor of Philosophy at the University of Sydney, where he was founding Director of the Centre for Time.

• Editorial to “Decision theory and the future of AI”.- A classification of Newcomb problems and decision theories.- Reward tampering problems and solutions in reinforcement learning: a causal influence diagram perspective.- Intuition, intelligence, data compression.- Approval-directed agency and the decision theory of Newcomb-like problems.- Causal concepts and temporal ordering.- Desirability foundations of robust rational decision making.- Subjective causal networks and indeterminate suppositional credences.